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__author__ = 'DarkWeb'
# Here, we are importing the auxiliary functions to clean or convert data
from MarketPlaces.Utilities.utilities import *
# Here, we are importing BeautifulSoup to search through the HTML tree
from bs4 import BeautifulSoup
# parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs
# stores info it needs in different lists, these lists are returned after being organized
# @param: soup object looking at html page of description page
# return: 'row' that contains a variety of lists that each hold info on the description page
def darkbay_description_parser(soup):
# Fields to be parsed
vendor = "-1" # 0 *Vendor_Name
success = "-1" # 1 Vendor_Successful_Transactions
rating_vendor = "-1" # 2 Vendor_Rating
name = "-1" # 3 *Product_Name
describe = "-1" # 4 Product_Description
CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
category = "-1" # 7 Product_Category
views = "-1" # 8 Product_Number_Of_Views
reviews = "-1" # 9 Product_Number_Of_Reviews
rating_item = "-1" # 10 Product_Rating
addDate = "-1" # 11 Product_AddedDate
BTC = "-1" # 12 Product_BTC_SellingPrice
USD = "-1" # 13 Product_USD_SellingPrice
EURO = "-1" # 14 Product_EURO_SellingPrice
sold = "-1" # 15 Product_QuantitySold
left = "-1" # 16 Product_QuantityLeft
shipFrom = "-1" # 17 Product_ShippedFrom
shipTo = "-1" # 18 Product_ShippedTo
image = "-1" # 19 Product_Image
vendor_image = "-1" # 20 Vendor_Image
# vendor name
vendor = soup.find('div', {'class', 'vendor'}).find('a').text
# product name
name = soup.find('h3').text
# description
describe = soup.find('div', {'class', 'description'}).text.replace('\n', ' ')
# category
category = soup.find('i', {'class', 'fas fa-folder'}).text
# finding price
money = soup.find('div', {'class', 'price'})
BTC = money.find('span', {'class', 'btc'}).text.replace('$','')
USD = money.find('span', {'class', 'usd'}).text.replace('','')
if soup.find('div', {'class': 'instock many'}):
left = soup.find('div', {'class': 'instock many'}).text
if 'in stock' in left:
left.replace('in stock', '').strip()
if left == '':
left = '-1'
# ship to and ship from
location = soup.find('dl', {'class': 'compact ships mb1'}).findAll('dd')
shipFrom = location[0].text
shipFrom = ''.join(c for c in shipFrom if c.isalnum())
shipFrom = shipFrom.strip()
shipFrom = cleanString(shipFrom)
shipTo = location[1].text
shipTo = ''.join(c for c in shipTo if c.isalnum())
shipTo = shipTo.strip()
# Finding Product Image
if soup.find('div', {"class": 'product-photos'}):
image = soup.find('div', {"class": 'product-photos'}).find('img')
image = image.get('src')
image = image.split('base64,')[-1]
else:
image = "-1"
# Populating the final variable (this should be a list with all fields scraped)
row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate,
BTC, USD, EURO, sold, left, shipFrom, shipTo, image, vendor_image)
# Sending the results
return row
# parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
# stores info it needs in different lists, these lists are returned after being organized
# @param: soup object looking at html page of listing page
# return: 'row' that contains a variety of lists that each hold info on the listing page
def darkbay_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "DarkBay" # 0 *Marketplace_Name
vendor = [] # 1 *Vendor y
rating_vendor = [] # 2 Vendor_Rating
success = [] # 3 Vendor_Successful_Transactions
name = [] # 4 *Product_Name y
CVE = [] # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) dont worry about this
MS = [] # 6 Product_MS_Classification (Microsoft Security) dont worry about this
category = [] # 7 Product_Category y
describe = [] # 8 Product_Description
views = [] # 9 Product_Number_Of_Views
reviews = [] # 10 Product_Number_Of_Reviews
rating_item = [] # 11 Product_Rating
addDate = [] # 12 Product_AddDate
BTC = [] # 13 Product_BTC_SellingPrice
USD = [] # 14 Product_USD_SellingPrice y
EURO = [] # 15 Product_EURO_SellingPrice
sold = [] # 16 Product_QuantitySold
qLeft = [] # 17 Product_QuantityLeft
shipFrom = [] # 18 Product_ShippedFrom
shipTo = [] # 19 Product_ShippedTo
image = [] # 20 Product_Image
image_vendor = [] # 21 Vendor_Image
href = [] # 22 Product_Links
cat = soup.find('div', {'class': 'path'}).findAll('a')
listing = soup.find('div', {"class": 'items'}).findAll('form', {"action": '/cart'})
# Populating the Number of Products
nm = len(listing)
for a in listing:
category.append(cat[1].text)
# Adding the url to the list of urls
link = a.find('a').get('href')
link = cleanLink(link)
href.append(link)
# Finding the Product name
product = a.find('a').text
product = product.replace('\n', ' ')
product = product.replace(",", "")
product = product.replace("...", "")
product = product.strip()
name.append(product)
# Finding Product Image
product_image = a.find('img')
if product_image is not None:
product_image = product_image.get('src')
product_image = product_image.split('base64,')[-1]
image.append(product_image)
else:
image.append('-1')
# vendor name
ven = a.find('div', {'class', 'vendor'}).find('a').text
ven = cleanString(ven)
vendor.append(ven)
# find price in usd
usd = a.find('div', {'class': 'price'}).text
usd = usd.replace('$','')
USD.append(usd)
rating_vendor.append('-1')
success.append('-1')
CVE.append('-1')
MS.append('-1')
describe.append('-1')
views.append('-1')
reviews.append('-1')
rating_item.append('-1')
addDate.append('-1')
BTC.append('-1')
EURO.append('-1')
sold.append('-1')
qLeft.append('-1')
shipFrom.append('-1')
shipTo.append('-1')
image_vendor.append('-1')
# Populate the final variable (this should be a list with all fields scraped)
return organizeProducts(mktName, nm, vendor, rating_vendor, success, name, CVE, MS, category, describe, views,
reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href, image, image_vendor)
# called by the crawler to get description links on a listing page
# @param: beautifulsoup object that is using the correct html page (listing page)
# return: list of description links from a listing page
def darkbay_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.find('div', {"class": "items"}).findAll('form', {'class':'item'})
for a in listing:
bae = a.findAll('a', href=True)
# Adding the url to the list of urls
link = bae[0].get('href')
href.append(link)
return href